Python Programming

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The Best Python Training Center in Hubli. “Train with the Best, Building a Strong Foundation for Developers”.

What is Python?

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis.

It is used for:

•  Web development (server-side)
• Software development
• Mathematics
• System scripting or Automation
• Data Analysis and Visualization
• Software testing and prototyping
• Artificial Intelligence and Machine Learning
• Game Development
• Desktop GUI
• Scientific and Numeric Computing
• Business Applications

What are the Python Modules and their applications?

 
1.     Django for Web Developer and Python Developer:
Django is a high-level web framework used for building robust and scalable web applications. It simplifies the development of web applications by providing a clean and efficient structure, along with features like ORM (Object-Relational Mapping) and built-in security measures.
2.     Pandas for Data Analyst, Financial Analyst and Business Analyst:
Pandas is a powerful data manipulation and data analysis module. It offers data structures and functions for efficiently handling and analysing structured data, such as data frames, time series, and data cleaning operations.
3.     Matplotlib for Data Scientist:
Matplotlib is a plotting library that enables the creation of various types of static, animated, and interactive visualizations. It is widely used for data visualization and creating graphical representations of data.
4.     NumPy for Research Scientist, Machine Learning Engineer:
NumPy is a fundamental module for scientific computing and numerical operations in Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions.

who are interested in expanding their knowledge and skills in this field?

•  Degree in Computer Science
•  Degree in Engineering
•  Information Technology
•  Degree in Data Science
• Degree in Mathematics or Statistics
•  Degree in Business or Marketing Analytics

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